Morphological classification method and data-driven estimation of the joint roughness coefficient by consideration of two-order asperity

Morphological classification method and data-driven estimation of the joint roughness coefficient by consideration of two-order asperity

The roughness of the joint surface plays a significant role in evaluating the shear strength of rock. The waviness (first-order) and unevenness (second-order) of natural joints have different effects on the characterization of joint surface roughness. To accurately quantify the influence of the two-...

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Bibliographic Details
Main Authors: Hu Yunpeng, Feng Wenkai, Li Wenbin, Yi Xiaoyu, Liu Kan, Ye Longzhen, Zhao Jiachen, Lu Xianjing, Zhang Ruichao
Format: Article
Language:English
Published: De Gruyter 2023-07-01
Series:Reviews on Advanced Materials Science
Subjects:
two-order asperity of joint surface
statistical parameters of morphology
data-driven model
prediction of jrc
Online Access:https://doi.org/10.1515/rams-2022-0336

Internet

https://doi.org/10.1515/rams-2022-0336

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